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Dawid Rymarczyk
Dawid Rymarczyk
PhD Student, Jagiellonian University; Data Scientist, Ardigen
Zweryfikowany adres z ii.uj.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep learning approach to describe and classify fungi microscopic images
B Zieliński, A Sroka-Oleksiak, D Rymarczyk, A Piekarczyk, ...
PloS one 15 (6), e0234806, 2020
25*2020
Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification
D Rymarczyk, Ł Struski, J Tabor, B Zieliński
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
18*2021
Kernel self-attention for weakly-supervised image classification using deep multiple instance learning
D Rymarczyk, A Borowa, J Tabor, B Zielinski
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
172021
Deep learning classification of bacteria clones explained by persistence homology
A Borowa, D Rymarczyk, D Ochońska, M Brzychczy-Włoch, B Zieliński
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
4*2021
Interpretable image classification with differentiable prototypes assignment
D Rymarczyk, Ł Struski, M Górszczak, K Lewandowska, J Tabor, ...
arXiv preprint arXiv:2112.02902, 2021
22021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
D Rymarczyk, A Pardyl, J Kraus, A Kaczyńska, M Skomorowski, ...
ECML PKDD 2022, 0
2*
Identifying bacteria species on microscopic polyculture images using deep learning
A Borowa, D Rymarczyk, D Ochońska, A Sroka-Oleksiak, ...
IEEE Journal of Biomedical and Health Informatics, 2022
2022
Comparison of supervised and self-supervised deep representations trained on histological images
D Rymarczyk, A Borowa, A Bracha, M Chronowski, W Ozimek, B Zieliński
Amsterdam, Berlin, Tokyo, Washington, DC: Amsterdam IOS Press, 2022
2022
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